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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1076 in Layer 6

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 1.6160. Min Act: -0.0000

Data Index: 63394 (C4 (Web Text))

Max Activating Token Index: 176

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Text #1

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Max Act: 1.4452. Min Act: -0.0000

Data Index: 63335 (C4 (Web Text))

Max Activating Token Index: 668

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Text #2

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Max Act: 1.1043. Min Act: -0.0000

Data Index: 977869 (C4 (Web Text))

Max Activating Token Index: 947

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Text #3

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Max Act: 1.1306. Min Act: -0.0000

Data Index: 1143641 (C4 (Web Text))

Max Activating Token Index: 717

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Text #4

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Data Index: 849271 (C4 (Web Text))

Max Activating Token Index: 952

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Text #5

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Data Index: 969496 (C4 (Web Text))

Max Activating Token Index: 200

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Text #6

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Data Index: 369621 (C4 (Web Text))

Max Activating Token Index: 201

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Text #7

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Data Index: 1250513 (C4 (Web Text))

Max Activating Token Index: 279

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Text #8

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Data Index: 1213130 (C4 (Web Text))

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Text #9

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Data Index: 1354381 (C4 (Web Text))

Max Activating Token Index: 732

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Text #10

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Data Index: 709894 (C4 (Web Text))

Max Activating Token Index: 354

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Text #11

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Data Index: 1237269 (C4 (Web Text))

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Text #12

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Data Index: 1256837 (C4 (Web Text))

Max Activating Token Index: 623

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Text #13

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Max Activating Token Index: 787

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Text #14

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Text #15

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Data Index: 608617 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1614364 (Python Code)

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Text #18

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Data Index: 280593 (C4 (Web Text))

Max Activating Token Index: 930

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Text #19

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Data Index: 1530787 (Python Code)

Max Activating Token Index: 143

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